/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package ai.h2o.sparkling.ml.params

import ai.h2o.sparkling.H2OFrame
import org.apache.spark.expose.Logging

trait HasInteractionPairs extends H2OAlgoParamsBase with Logging {
  private val interactionPairs =
    new NullableStringPairArrayParam(this, "interactionPairs", "A list of pairwise (first order) column interactions.")

  setDefault(interactionPairs -> null)

  private[sparkling] def getInteractionPairsParam(trainingFrame: H2OFrame): Map[String, Any] = Map.empty

  def getInteractionPairs(): Array[(String, String)] = null

  def setInteractionPairs(value: Array[(String, String)]): this.type = {
    logWarning("Interaction pairs are not supported.")
    this
  }
}
